🔍 Tool Execution Analysis Report

Comprehensive analysis of tool performance and execution patterns
Generated on September 29, 2025 at 02:48 AM
Source: airline_gemini2_5_flash_10tasks_2t_enhanced_agent_enhanced_logs.json

📊 Executive Summary

20
Total Simulations
240
Total Tool Calls
0.08ms
Avg Execution Time
10
Unique Tools

💡 Key Insights

🎯 Performance Insights

  • 3 out of 10 tools have excellent performance (≥95% success rate)
  • get_reservation_details is the most frequently used tool with 128 calls
  • Overall system reliability: 70.4%

🔄 State Management Insights

  • 4 tools perform state changes, 7 are read-only
  • State-changing operations: 20 calls
  • Read-only operations: 220 calls

⚠️ Error Analysis

  • 16 total errors across 1 error types
  • Most problematic tool: cancel_reservation (5 errors)
  • Primary error type: ActionCheckFailure

🛠️ Tool Performance Analysis

Tool Name Total Calls Success Rate Avg Time (ms) Performance State Changes
get_reservation_details 128 20.3% 0.04ms Poor 0/128
get_user_details 34 23.5% 0.04ms Poor 0/34
transfer_to_human_agents 24 100.0% 0.03ms Excellent 0/24
search_direct_flight 16 18.8% 0.19ms Poor 0/16
book_reservation 14 0.0% 0.11ms Poor 6/14
cancel_reservation 8 12.5% 0.11ms Poor 8/8
get_flight_status 8 100.0% 0.04ms Excellent 0/8
update_reservation_flights 4 0.0% 0.10ms Poor 4/4
send_certificate 2 0.0% 0.05ms Poor 2/2
search_onestop_flight 2 100.0% 2.86ms Excellent 0/2

🔄 State Change Analysis

Tool Name Category Calls Success Rate Avg Time (ms) Performance Rating
cancel_reservation State-Changing 8 100.0% 0.11ms Excellent
book_reservation State-Changing 6 100.0% 0.16ms Excellent
update_reservation_flights State-Changing 4 100.0% 0.10ms Excellent
send_certificate State-Changing 2 100.0% 0.05ms Excellent
get_reservation_details Read-Only 128 89.1% 0.04ms Fair
get_user_details Read-Only 34 100.0% 0.04ms Excellent
transfer_to_human_agents Read-Only 24 100.0% 0.03ms Excellent
search_direct_flight Read-Only 16 100.0% 0.19ms Excellent
book_reservation Read-Only 8 0.0% 0.08ms Poor
get_flight_status Read-Only 8 100.0% 0.04ms Excellent
search_onestop_flight Read-Only 2 100.0% 2.86ms Excellent

🔥 Failure Analysis

🎯 Root Cause Analysis

Total Failures

16

Error Rate

6.7%

Affected Tools

6

Error Categories

1

🚨 Primary Failure Modes

Action Check Failures

6 tools failed action validation checks:

  • cancel_reservation: 5 failures (83.3% rate)
    → Affected 4 simulation(s)
    → Example args: {'reservation_id': 'XEHM4B'}
  • get_user_details: 4 failures (33.3% rate)
    → Affected 4 simulation(s)
    → Example args: {'user_id': 'anya_garcia_5901'}
  • book_reservation: 2 failures (100.0% rate)
    → Affected 2 simulation(s)
    → Example args: {'user_id': 'sophia_silva_7557', 'origin': 'ORD', 'destination': 'PHL', 'flight_type': 'one_way', 'c...
  • send_certificate: 2 failures (100.0% rate)
    → Affected 2 simulation(s)
    → Example args: {'user_id': 'noah_muller_9847', 'amount': 50}
  • update_reservation_flights: 2 failures (100.0% rate)
    → Affected 2 simulation(s)
    → Example args: {'reservation_id': 'XEHM4B', 'cabin': 'economy', 'flights': [{'flight_number': 'HAT005', 'date': '20...
  • search_direct_flight: 1 failures (25.0% rate)
    → Affected 1 simulation(s)
    → Example args: {'origin': 'JFK', 'destination': 'MCO', 'date': '2024-05-22'}

⚡ Performance Impact Analysis

High-Usage Tools with Poor Performance
Tool Name Total Calls Success Rate Avg Time (ms)
get_reservation_details 128 20.3% 0.04ms
get_user_details 34 23.5% 0.04ms
search_direct_flight 16 18.8% 0.19ms
book_reservation 14 0.0% 0.11ms
cancel_reservation 8 12.5% 0.11ms
Slowest Tools by Execution Time
Tool Name Avg Time (ms) Total Calls Success Rate
search_onestop_flight 2.86ms 2 100.0%
search_direct_flight 0.19ms 16 18.8%
book_reservation 0.11ms 14 0.0%
cancel_reservation 0.11ms 8 12.5%
update_reservation_flights 0.10ms 4 0.0%

💡 Key Insights

  • Most problematic tool: cancel_reservation (5 failures)
  • Primary failure mode: Action validation failures suggest issues with tool argument validation or execution logic
  • Average tool success rate: 37.5%
  • ⚠️ Low overall success rate suggests systemic issues requiring investigation

🔧 Critical Recommendations

  1. Action Validation: Review and strengthen argument validation logic for failing tools
  2. Error Handling: Implement more robust error recovery mechanisms
  3. Performance Optimization: Focus on improving poor-performing tools with high usage
  4. Monitoring: Implement enhanced monitoring and alerting for tools with high failure rates
  5. Testing: Increase test coverage for identified problematic tool patterns

🔗 Tool Flow Analysis

Tool Sequence Patterns

Most common tool transitions:

  • get_reservation_details → get_reservation_details (82 times)
  • get_user_details → get_reservation_details (30 times)
  • get_reservation_details → transfer_to_human_agents (20 times)
  • transfer_to_human_agents → get_user_details (12 times)
  • transfer_to_human_agents → get_reservation_details (9 times)

Recursive patterns: 6 tools frequently call themselves, indicating iterative processing patterns.

📋 Recommendations

🚨 High Priority Actions

  • Critical: System success rate is only 70.4%. Immediate investigation required.

⚡ Performance Optimizations

  • Fix failing tools: 7 tools need attention: get_reservation_details (0.0% failure), get_user_details (11.8% failure), search_direct_flight (6.2% failure)
  • Consider caching: High-usage tools could benefit from result caching: get_reservation_details, get_user_details

📈 Enhancement Opportunities

  • Monitoring setup: With 240 tool calls analyzed, implement automated monitoring dashboards.
  • Performance baselines: Establish SLA targets for your 10 tools based on current performance data.
  • Load distribution: get_reservation_details accounts for 53.3% of calls. Consider load balancing or scaling strategies.

Report generated by tau2-enhanced analysis framework

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